WATER: Dataset of automatic meteorological observations at the Dadongshu mountain pass snow observation station (2007-2009)

WATER: Dataset of automatic meteorological observations at the Dadongshu mountain pass snow observation station (2007-2009)


The dataset of automatic meteorological observations was obtained at the Dadongshu mountain snow observation station (E100°14′/N38°01′, 4101m) from Oct. 29, 2007 to Oct. 1, 2009. The experimental area with a flat and open terrain was slightly sloping from southeast to northwest. With alpine meadow and stones, and snow in autumn, winter and spring, the landscape was ideal.

Observation items were multilayer (2m and 10m) of the wind speed, the air temperature and air humidity, the air pressure, rain and snow gauges, snow depth, four components of radiation, the multilayer soil temperature (5cm, 10cm, 20cm, 40cm, 80cm, and 120cm), soil moisture (5cm, 10cm, 20cm, 40cm, 80cm, and 120cm), and soil heat flux (5cm & 15cm).

The raw data were level0 and the data after basic processes were level1, in which ambiguous ones were marked; the data after strict quality control were defined as Level2. The data files were named as follows: station+datalevel+AMS+datadate. Level2 or above were strongly recommended to domestic users. As for detailed information, please refer to Meteorological and Hydrological Flux Data Guide.


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Cite as:

Wang, J., Che, T., Li, H., Hao, X. (2015). WATER: Dataset of automatic meteorological observations at the Dadongshu mountain pass snow observation station (2007-2009). National Tibetan Plateau Data Center, DOI: 10.3972/water973.0295.db. CSTR: 18406.11.water973.0295.db. (Download the reference: RIS | Bibtex )

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Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


References literature

1.Ma, M.G. (2011). Quality control and evaluation for the ground observation data of the watershed allied telemetry experimental research. Remote Sensing Technology and Application, 25(6), 766-771. (View Details )

2.Wu Lizong, Qu Yonghua, Wang Liangxu, Sun Qingsong, Hu Xiaoli, Li Xin, Wang Jindi, Li Hongxing, et al. Data Management and Its Sharing Application of Watershed Allied Telemetry Experimental Research. Remote Sensing Technology and Application, 2010, 25(6): 772-781. (View Details )

3.Wang Liangxu, Wang Shuguo, Ran Youhua. (2014), Data Sharing and Data Set Application of Watershed Allied Telemetry Experimental Research. IEEE Geoscience and Remote Sensing Letters, 11(11), 2020-2024. doi:10.1109/LGRS.2014.2319301 (View Details )

4.Li Xin, Li Xiaowen, LiZengyuan.et al.Progresses on the Watershed Allied Telemetry Experimental Research(WATER)[J].Remote Sensing Technology and Application,2012,27(5):637-649. (View Details )

5.Ma Mingguo, Liu Qiang, Pei Guangjian, Chen Erxue, Xiao Qing, Su Peixi, Hu Zeyong, Li Xin, Niu Wei, Wang Weizhen, Qian Jinbo, Song Yi, Ding Songshuang, Xin Xiaozhou, Ren Huazhong, Huang Chunlin, Jin Rui, Che Tao, Chu Rongzhong. Simultaneous Remote Sensing and (Ground-based Experiment in the Heihe River Basin:Experiment of Forest Hydrology and Arid Region Hydrology in the Middle Reaches. Advances in Earth Science, 2009, 24(7): 681-695. (View Details )

6.Li, X., Ma, M.G., Wang, J., Liu, Q., Che, T.,Hu, Z.Y., et al. (2008). Simultaneous remote sensing and ground-based experiment in the heihe river basin: scientific objectives and experiment design. Advances in Earth Science, 23(9), 897-914. (View Details )

7.LiXin,Lin Qiang. Liu Qinhuo,et al. The Progresses on the Watershed Allied Telemetry Experimental Research (WATER):Remote Sensing of Key Hydrological and Ecological Parameters[J].Remote Sensing Technology and Application,2012.27(5)650-662. (View Details )

8.Zhang YL, Cheng GD, Li X, Han XJ, Wang L, Li HY, Chang XL, Flerchinger GN. Coupling of a simultaneous heat and water model with a distributed hydrological model and evaluation of the combined model in a cold region watershed. Hydrological Processes, 2013, DOI: 10.1002/hyp.9514. (View Details )

9.Li, X., Li, X.W., Roth K, Menenti M, Wagner W. (2011). Preface 'Observing and modeling the catchment scale water cycle'. Hydrology and Earth System Sciences, 15(2), 597-601. doi:10.5194/hess-15-597-2011. (View Details )

10.Pan, X.D., Li, X., Shi, X.K., Han, X.J., Luo, L.H., Wang, L.X. Dynamic downscaling of near-surface air temperature at the basin scale using WRF–a case study in the Heihe River Basin, China. Frontiers of Earth Science, 2012, 6(3): 314-323, doi: 10.1007/s11707-012-0306-2. (View Details | Download )

11.Ma, M.G., Liu, Q., Y, G.J., Chen, E.X., Xiao, Q.,Su, P.X.,Hu, Z.Y., Li, X., et al. (2009). The cold regions hydrological remote sensing and ground-based synchronous observation experiment in the upper reaches of heihe river. Journal of Glaciology & Geocryology, 31(2), 189-197. (View Details )

12.Huang, G.H., Ma, M.G., Tan, J.L., Zhang, Z.H. (2010). Data quality control and products of automatic weather stations for watershed allied telemetry experimental research. Remote Sensing Technology and Application, 25(6), 814-820. (View Details )

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14.Sun, Q.S., Qu, Y.H., Wang, J.D., Dong, J. (2010). The implementation of the opendap based remote sensing data distribution system. Remote Sensing Technology and Application, 25(6), 782-787. (View Details )

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Support Program

The CAS (Chinese Academy of Sciences) Action Plan for West Development Project (No:KZCX2-XB2-09)

National Program on Key Basic Research Project (973 Program (No:2007CB714400)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors,expand servglacials of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 100.24 West: 100.24
South: 38.01 North: 38.01
Details
  • File size: 53 MB
  • Views: 20,418
  • Downloads: 478
  • Access: Open Access
  • Temporal coverage: 2007-11-13 To 2010-01-15
  • Updated time: 2021-04-19
Contacts
: WANG Jian   CHE Tao   LI Hongyi   HAO Xiaohua  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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